Swarm Optimization Using Agents Modeled as Distributions
Nathan Bell · 2014
Particle Swarm Optimization (PSO) is a popular meta-heuristic for black-box optimization.Many variations and extensions of PSO have been developed since its creation in 1995, and the algorithm remains a popular topic of research.In this work we explore a new, abstracted, perspective of the PSO system and present the novel Particle Field Optimization (PFO) algorithm which harnesses this new perspective to achieve a behaviour distinct from traditional PSO systems.the writing of this thesis.His experience and insight was invaluable throughout all stages of research and writing.